code-reviewer

Name: code-reviewer
Availability: InStock
Author: random6913

Analyze codebases to enforce architectural rules and generate structured findings reports.

1|Updated Mar 23, 2026

Search Tags:#testing #architecture #error-handling #code-review #analyze #dependency-injection

Ready to run

npx skills add https://github.com/RaNDoM6913/claude-code-superkit --skill code-reviewer-random6913

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: code-reviewer
Source: https://github.com/RaNDoM6913/claude-code-superkit/tree/main/packages/codex/skills/code-reviewer
Command: npx skills add https://github.com/RaNDoM6913/claude-code-superkit --skill code-reviewer-random6913

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Checks and enforces architectural quality across codebases, catching violations early and standardizing review outcomes.

Core Features & Use Cases

Architectural rule enforcement: detects layer violations, DI misuse, and naming inconsistencies across services.
Error handling & test guidance: ensures wrapped errors and test coverage recommendations are provided in reviews.
Use Case: integrate into PR reviews to automatically generate a structured findings report and actionable fixes.

Quick Start

Run a full codebase architectural review on the current project to generate a structured findings report.

Frequently Asked Questions about code-reviewer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate code reviews for architecture and layer boundaries?▼

Automating architectural code reviews analyzes multi-language codebases to enforce layer constraints, evaluate dependency injection, and check error handling. It generates structured findings reports to catch architectural violations early in CI pipelines.

What does architectural rule enforcement check in a multi-language codebase?▼

Architectural rule enforcement checks layer boundaries, dependency injection misuse, and naming inconsistencies across services. It ensures errors are properly wrapped, context is propagated, and test coverage recommendations are provided during the review process.

Can I integrate automated code analysis into PR reviews for CI pipelines?▼

Yes, you can integrate this automated code analysis into PR reviews within CI pipelines. It evaluates multi-language repositories to produce actionable assessment reports, ensuring architectural rules are respected before merging code.

How do I enforce error handling and wrapped errors in my services?▼

Enforcing wrapped errors during code review analyzes your services to ensure errors are properly wrapped and context is propagated. It evaluates error handling patterns and provides actionable fixes within a structured findings report.

What is the best way to standardize code quality outcomes across repositories?▼

Standardizing code quality outcomes applies architectural rule enforcement across repositories to detect layer violations and naming inconsistencies. It standardizes review outcomes by generating consistent assessment reports with actionable fixes for multi-language projects.

Does automated code review work for multi-language repositories?▼

Yes, automated code review works for multi-language repositories. It evaluates layer boundaries, error handling, dependency injection, tests, and naming across different services within the same codebase to produce a comprehensive architectural assessment report.